Identity Verification Using Eye Tracking and Blinking Analysis
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Solution Overview
Problem
Current identity verification methods lack diversification and security, particularly for users who may be under intimidation, as they rely on traditional input methods that do not effectively verify free will or mental state.
Innovation Solution
An identity verification method and apparatus that utilizes eye movement tracking to analyze blinking movements and eye status to determine if a user is in a state of free will, allowing for differentiated password input and authority levels based on eye movement patterns, including blinking frequency, duration, and gaze location, while integrating biological features for enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional input methods are used for identity verification, then the operation is simple, but the security and verification of free will are insufficient
Solution Approach 1:
The verification process is divided into multiple independent stages: biological feature verification (fingerprint, face, iris), eye movement tracking, blinking detection, and free will assessment. Each stage operates independently and contributes to the overall security, allowing the system to maintain high reliability while managing complexity through modular design.
Solution Approach 2:
Eye movement tracking serves as an intermediary mechanism between traditional authentication and free will verification. The eye tracking system captures blinking patterns and movement characteristics that indirectly reveal the user's mental state and voluntary action, providing a bridge that enhances security without requiring direct complex measurements.
2Reliability
If eye movement tracking is added to verify free will, then the security is improved, but the device complexity increases
Solution Approach 1:
The eye tracking system performs multiple functions simultaneously: it tracks eye position, detects blinking movements, analyzes blinking patterns for free will determination, and monitors gaze duration. This multi-functionality reduces the need for separate dedicated sensors for each measurement, thereby limiting the increase in device complexity while achieving comprehensive free will verification.
Solution Approach 2:
The system uses the user's own physiological characteristics (natural blinking patterns and eye movements) as the verification mechanism. The user's involuntary blinking and eye movements automatically provide the data needed for free will assessment without requiring additional external inputs or complex intervention mechanisms.
3Measurement precision
If multiple verification procedures are implemented, then the measurement precision is improved, but the time consumption increases
Solution Approach 1:
Biological feature verification (fingerprint, face, iris) is performed first as a preliminary filter to confirm identity before proceeding to eye movement tracking and free will verification. This preliminary action ensures that only authenticated users undergo the more time-consuming eye tracking procedures, thereby reducing overall verification time while maintaining high measurement precision.
Solution Approach 2:
The system can skip certain verification stages under appropriate conditions. For example, if biological verification fails, the system terminates early without proceeding to eye tracking. If eye movement patterns clearly indicate involuntary action, the system can quickly determine free will status without completing all analysis steps, thus reducing time consumption while preserving verification accuracy.
Data Source
AI summary
An identity verification method and an identity verification apparatus are provided. A face image sequence of a user is analyzed to determine whether a biological feature conforms to a preset feature. An input interface is displayed after the biological feature conforms to the preset feature. An eye tracking detection is executed for a face image sequence to detect a blinking movement of the user. And a mental verification is executed by using the blinking movement. The invention combines the biological feature with the eye tracking detection for identity verification. The invention not only tightens security but also diversifies operation.